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Background: Atmospheric particulate matter (PM) has been associated with endothelial dysfunction, an early marker of cardiovascular risk. Our aim was to extend this research to a genetically homogenous, geographically stable rural population using location-specific moving-average air pollution exposure estimates indexed to the date of endothelial function measurement., Methods: We measured endothelial function using brachial artery flow-mediated dilation (FMD) in 615 community-dwelling healthy Amish participants. Exposures to PM < 2.5 μm (PM 2.5 ) and PM < 10 μm (PM 10 ) were estimated at participants' residential addresses using previously developed geographic information system-based spatio-temporal models and normalized. Associations between PM exposures and FMD were evaluated using linear mixed-effects regression models, and polynomial distributed lag (PDL) models followed by Bayesian model averaging (BMA) were used to assess response to delayed effects occurring across multiple months., Results: Exposure to PM 10 was consistently inversely associated with FMD, with the strongest (most negative) association for a 12-month moving average (- 0.09; 95% CI: - 0.15, - 0.03). Associations with PM 2.5 were also strongest for a 12-month moving average but were weaker than for PM 10 (- 0.07; 95% CI: - 0.13, - 0.09). Associations of PM 2.5 and PM 10 with FMD were somewhat stronger in men than in women, particularly for PM 10 ., Conclusions: Using location-specific moving-average air pollution exposure estimates, we have shown that 12-month moving-average estimates of PM 2.5 and PM 10 exposure are associated with impaired endothelial function in a rural population.